Miaomiao Zhu1, Bo Yu1,*, Zhiwen Yao2
1College of Science, China Three Gorges University, Yichang 443002, Hubei, China.
2China Shipbuilding Industry Group Co. Ltd Alphapec Instrument (Hubei), Yichang 443005, Hubei, China.
*Corresponding author: Bo Yu
References
[1] Peng JT, Peng SL, Xie Q, et al. Baseline correction combined partial least squares algorithm and its application in on-line Fourier transform infrared quantitative analysis. Analytica Chimica Acta. 2011;690(2):162-168.
[2] Chen NP. Review on Identification of Wine by Fourier Transform Infrared Spectroscopy. Modern Chemical Research. 2019;(06):22-24.
[3] Chen YY, Zou CN, Mastalerz M, et al. Applications of Micro-Fourier Transform Infrared Spectroscopy (FTIR) in the Geological Sciences—A Review. International Journal of Molecular Sciences. 2015;16(12):30223-30250.
[4] Jiang A. Research on the Qualitative Analysis Method of Complex Mixtures Based on Infrared Spectroscopy. Shanghai: Chinese Academy of Sciences. 2012.
[5] Wang L, Li DM, Qian HJ, et al. Baseline drift and calibration methods in NIR analysis. Analysis Laboratory. 2016;35(10):1203-1208.
[6] Hu YG, Zhao ZY, Wang G. Baseline correction and background elimination using wavelet transforms. Journal of Huazhong University of Science and Technology (Nature Science Edition). 2011;39(06):36-40.
[7] Ma H, Wang ZB, Zhang JL. et al. Infrared Spectrum Baseline Correction Method Based on Improved Iterative Polynomial Fitting. Laser Technology. 2013;37(02):223-226.
[8] Jiang XY, Li FS, Wang QY. et al. Comparison of the Spectral Baseline Correction Based on the Penalized least squares algorithm. Transactions of the Chinese Society for Agricultural Machinery. 2021;52(08):205-212.
[9] Zhang ZM, Chen S, Liang YZ. et al. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst. 2010;135(5):1138-1146.
[10] Peng J, Peng S, Xie Q, et al. Baseline correction combined partial least squares algorithm and its application in on-line Fourier transform infrared quantitative analysis. Analytica Chimica Acta. 2011;690(2):162-168.
[11] Baek SJ, Park A, Ahn YJ. et al. Baseline correction using asymmetrically reweighted penalized least squares smootning. Analyst. 2015;140(1):250-257.
[12] Zhang F, Tang X, Tong A, et al. Baseline correction for infrared spectra using adaptive smoothness parameter penalized least squares method. Spectroscopy Letters. 2020;53(3):222-233.
[13] Zhao FK, Xu XM, Lv LY. et al. A Background Removing Method for Spectrum Signal Based on Iterative Wavelet Transform. Journal of Instrumental Analysis. 2019;38(10):1275-1279.
[14] Ning ZQ, Liu JX, Wu Y, et al. Infrared Spectrum BASELINE Correction Method Based on Improved Iterative Polynomial Fitting. Laser & Optoelectronics. 2020;57(03):255-261.
[15] Gan F, Ruan G, Mo J. Baseline correction by improved iterative polynomial fitting with automatic threshold. Chemometrics and Intelligent Laboratory Systems. 2006;82(1):59-65.
[16] Ma Z, Ma E, Xiong FB. et al. Dynamic Moving Savitzky-Golay Smoothing Algorithm for the Raman Spectrum Automatic Baseline Correction. Applied Laser. 2017;37(04):614-618.
[17] Zhao H, Chen YX, Xu XD, et al. Baseline Correction for Raman Spectra Based on Locally Symmetric Reweighted Penalized Least Squares. Chinese Journal of Lasers. 2018;45(12):280-291.
[18] Guo Y, Wang W. Baseline correction for Raman spectra using a spectral estimation-based asymmetrically reweighted penalized least squares method. Applied Optics. 2023;62(18):4766-4776.
[19] Nie L, Tao M, Zhai ZS, et al. Undersampled modified algorithm for cylindrical near-field measurement based on cubic spline interpolation. Journal of Hubei University of Technology. 2017;32(01):63-67.
[20] Chat T, Draxler RR. Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature. Geoscientific Model Development. 2014;7(3):1247-1250.